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Results 811 - 820 of 1,083 for store (0.17 sec)

  1. Pipelining: chaining a PCA and a logistic regre...

    parameter (CV score= %0.3f ):" % search . best_score_ ) print (...is_max_test_score = pl . col ( "mean_test_score" ) == pl . col...
    scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html
    Fri Oct 10 15:14:35 UTC 2025
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  2. Universal workplace search — Search all your to...

    Read story Test the latest AI search capabilities...business goals. More search stories Leading sales enablement platform...
    www.elastic.co/enterprise-search/workplace-search
    Wed Sep 24 00:04:33 UTC 2025
      668.7K bytes
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  3. Univariate Feature Selection — scikit-learn 1.7...

    y_train ) scores = - np . log10 ( selector . pvalues_ ) scores /= scores...0.45 , scores , width = 0.2 , label = r "Univariate score ($-Log(p_...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html
    Fri Oct 10 15:14:33 UTC 2025
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  4. AdaBoostRegressor — scikit-learn 1.7.2 document...

    Notes The \(R^2\) score used when calling score on a regressor uses...default value of r2_score . This influences the score method of all...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html
    Fri Oct 10 15:14:36 UTC 2025
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  5. Recursive feature elimination with cross-valida...

    the cross-validated scores. The scoring strategy “accuracy” optimizes..."n_features" , "mean_test_score" , "std_test_score" ] } cv_results =...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html
    Fri Oct 10 15:14:33 UTC 2025
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  6. Compare cross decomposition methods — scikit-le...

    xlabel ( "x scores" ) plt . ylabel ( "y scores" ) plt . title.... xlabel ( "x scores" ) plt . ylabel ( "y scores" ) plt . title...
    scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html
    Fri Oct 10 15:14:35 UTC 2025
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  7. Restricted Boltzmann Machine features for digit...

    features: precision recall f1-score support 0 0.10 1.00 0.18 174...features: precision recall f1-score support 0 0.10 1.00 0.18 174...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html
    Fri Oct 10 15:14:35 UTC 2025
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  8. plot_hgbt_regression.zip

    scoring=scorer) rmse = cv_results["test_score"] print(f"RMSE...cv=ts_cv, scoring=scorer) rmse = cv_results["test_score"] print(f"RMSE...
    scikit-learn.org/stable/_downloads/ef504a3cb245a55fde178198c8218b4a/plot_hgbt_regression.zip
    Fri Oct 10 15:14:33 UTC 2025
      36.8K bytes
     
  9. 2.7. Novelty and Outlier Detection — scikit-lea...

    This scoring function is accessible through the score_samples...of a threshold on the raw scoring function computed by the estimator....
    scikit-learn.org/stable/modules/outlier_detection.html
    Fri Oct 10 15:14:33 UTC 2025
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  10. Column Transformer with Mixed Types — scikit-le...

    ) print ( "model score: %.3f " % clf . score ( X_test , y_test...) print ( "model score: %.3f " % clf . score ( X_test , y_test...
    scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html
    Fri Oct 10 15:14:35 UTC 2025
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